STAT 431

Spring 2020 All Classes

All Classes

Applied Bayesian Analysis

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Credit: 3 OR 4 hours.

Introduction to the concepts and methodology of Bayesian statistics, for students with fundamental knowledge of mathematical statistics. Topics include Bayes' rule, prior and posterior distributions, conjugacy, Bayesian point estimates and intervals, Bayesian hypothesis testing, noninformative priors, practical Markov chain Monte Carlo, hierarchical models and model graphs, and more advanced topics as time permits. Implementations in R and specialized simulation software.

Same as ASRM 453. 3 undergraduate hours. 4 graduate hours. Prerequisite: STAT 410 and knowledge of R.

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STAT 431 class schedule data for spring 2020
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	67116	Lecture	1GR	12:30PM -1:50PM	TR	114 Transportation Building	Culpepper, S	Part of Term: 1 Date Range: 01/21/20-05/06/20 Credit: 4 hours Section Info: For Statistics course registration information: go.illinois.edu/StatisticsRegistration Restriction(s): Restricted to Graduate - Urbana-Champaign.
	67117	Lecture	1UG	12:30PM -1:50PM	TR	114 Transportation Building	Culpepper, S	Part of Term: 1 Date Range: 01/21/20-05/06/20 Credit: 3 hours Section Info: For Statistics course registration information: go.illinois.edu/StatisticsRegistration Restriction(s): Restricted to students with Senior or Junior class standing. Restricted to Undergrad - Urbana-Champaign.